VelorQ is not a general AI wrapped in an industry template. It is purpose-built from three domain-trained models, deployed as 9 AI Agents and 9 AI Tools — with enterprise security designed for the regulatory realities of healthcare, pharma, and education.
VelorQ is designed to go from contract to first live output quickly — no custom model training, no multi-year integration project.
Connect your existing systems via pre-built connectors or standard REST APIs. Your data stays within your environment.
Choose the AI Agents and Tools relevant to your workflow. Deploy one or all eighteen — each runs independently or in combination.
Set your confidence thresholds, escalation rules, and workflow integrations. Validate against your data before going live.
Your team starts receiving AI-generated outputs shortly after contract. Continuous improvement from day one.
Each VelorQ AI model is trained on a specific regulated domain — not a general-purpose LLM with a system prompt. Domain specificity is what makes the accuracy difference in high-stakes contexts.
Trained on NABH and JCI accreditation standards, clinical protocols, ISO 7101:2023 healthcare quality management, and drug-interaction data.
Trained on FDA, EMA, and CDSCO regulatory frameworks, ICH guidance documents, GxP standards, and pharmaceutical submission requirements.
Trained on curriculum standards, accreditation frameworks (NAAC, UGC), assessment design principles, and academic content across medicine and allied health sciences.
Every architectural decision in VelorQ reflects the operational realities of regulated industries — explainability, auditability, data isolation, and enterprise integration.
AURA, NOVA, and SAGE — each purpose-trained on its domain's authoritative sources
9 AI Agents for multi-step workflows and 9 AI Tools for focused intelligence
Pre-configured connectors and a validated deployment playbook get you to live output fast
Education, Healthcare, Pharma, and Life Sciences — where AI must be explainable by design
A short demo with our solutions team covers your specific use case, deployment requirements, and integration path.